DBScholar

Back to papers

Natural Language Question Answering over RDF — A Graph Data Driven Approach

Summary: Graph-data driven RDF Q/A framework; semantic query graph models NL questions and reduces NLQ to subgraph matching. Ambiguity resolved during matching; no-match pruning saves disambiguation cost, boosting precision and speed over SOTA on benchmarks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4958
Venue
SIGMOD
Year
2014
Pagerank
6.9746167e-05
Overall Rank
3,981 | 72.69%
DOI
10.1145/2588555.2610525

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zou_sigmod14,
        title = {{Natural Language Question Answering over RDF — A Graph Data Driven Approach}},
        author = {Zou, Lei and Huang, Ruizhe and Wang, Haixun and Yu, Jeffrey Xu and He, Wenqiang and Zhao, Dongyan},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2610525},
        url = {https://dl.acm.org/doi/10.1145/2588555.2610525},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
5 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0010828372
352 On Graph Query Optimization in Large Networks 2010 VLDB 0.00020375193
442 Efficient Subgraph Matching on Billion Node Graphs 2012 VLDB 0.00018398144
1,774 gStore: Answering SPARQL Queries via Subgraph Matching 2011 VLDB 9.7870727e-05
5,400 Discovering and Exploring Relations on the Web 2012 VLDB 6.2318753e-05
Previous Page 1 / 1 Next

Semantically Similar Papers